Hello! We are ORIGEN
We are leaders in optimization and prediction for the energy industry. An R&D focus on vertical industry allows us to maintain a steady flow of patents and IP. Our team has extensive expertise in application and research in Artificial Intelligence and Big Data, as well as substantial first hand knowledge of the energy industry.
Meet our team
Ruben Rodriguez Torrado
Chief Executive Officer (CEO)
Ruben is an AI energy expert with over 10 years of experience leading projects as principal investigator in AI for Oil and Gas.
He has worked at IBM and Repsol to develop the first application of cognitive systems and AI (Watson computer) for Oiland Gas.
Ruben has led projects for uncertainty quantification, reservoir simulation/modelling and field development plan optimization in Colombia, Ecuador, Norway, Brazil, USA and UK.
Ruben was recognized by the World Economic Forum as a leading subject matter expert in AI and Oil and Gas in 2017. He has authored and co authored more than 30 scientific publications and 10 patents.
Technical Development Lead
Eduardo is a full-stack technical development lead, with over 12 years of comprehensive industry expertise.
Eduardo has significant experience working in start-up organizations, as well as in corporate environments.
He has actively contributed to multiple open source organizations and is a vocal contributor in the development community.
Eduardo holds a Master's degree in computer science engineering from the Universidad Rey Juan Carlos.
Chief AI Science Advisor
Julian is associate professor and director of the the game innovation lab at New York University (NYU).
Julian has authored 3 books and more than 200 papers in artificial intelligence (12,000+ citations in google scholar).
Previously, he had several faculty positions at the IT University of Copenhagen and University of Lugano.
Dr. Togelius is considered one of the most important researchers in AI of his generation. Dr. Togelius holds bachelor's degrees in computer science and physiology from Lund University and a PhD in Computer Science from the University of Essex.
Project Technical Manager of Artificial Intelligence (AI) Engineering
Michael has over 4 years of experience in artificial intelligence research, with successful projects using tree-search and evolutionary optimization techniques.
Michael also has 8 years of experience in software development, from small hobby projects to working as an engineer at four international companies.
He is a first-author on 9 papers on artificial intelligence, including a “Best Paper Award” at the International Conference on the Foundations of Digital Games, with an additional 10 papers as a secondary-author, including a “Best Paper Nominee” at the International Conference on Computational Creativity.
He holds two bachelor's degrees in computer science and classical civilizations from Lehigh University.
Senior Commercialization Advisor
Tyler is an entrepreneur and registered professional engineer, specializing in system design and technology commercialization.
He has over 8 years of energy and natural resources engineering and project management experience at several large corporations.
Tyler previously launched a restaurant ordering platform enabling customer analytics and billing automation, and provided business intelligence consulting for customers in Alberta.
Tyler holds a bachelor's degree in mechanical engineering from the University of Alberta, and an MBA specializing in business intelligence and data analytics at the University of Calgary.
Pablo ruiz mataran
Pablo is a Data Scientist with more than 10 years of experience. He received his B.S. Degree in Mathematics, M.S. in Multimedia Technologies and Ph.D. in Information and Communication Technologies from the University of Granada.
Pablo was a postdoctoral researcher at Northwestern University for 4 years. In his research he has studied probabilistic models and inference applied to the solution of inverse problems. Using these tools, he has addressed a number of signal and image processing problems as well as machine learning problems such as regression and classification problems, active learning, feature learning and crowdsourcing among others.
He is co-author of 13 journal papers, 19 conferences papers and 1 book-chapter. He has participated in 11 research projects and contracts has taught undergrad and master courses both at UGR and NU.